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Published on: November 17, 2019
PINE: An Automation Tool to Extract and Visualize Protein-Centric Functional Networks
Niveda Sundararaman1, James Go1, Aaron E Robinson1
1Advanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, United States.
We developed Protein Interaction Network Extractor (PINE), a user-friendly tool for visualizing and exploring proteome and post-translational modification networks. PINE aids in generating novel hypotheses for understanding disease mechanisms.
Area of Science:
- Bioinformatics
- Proteomics
- Systems Biology
Background:
- Mass spectrometry-based proteomics generates large datasets requiring efficient data processing.
- Existing tools for protein-protein interaction (PPI) data are often stand-alone and lack comprehensive network visualization.
- Understanding global proteome and post-translational modification (PTM) networks is crucial for disease mechanism research.
Purpose of the Study:
- To develop an automated, user-friendly graphical user interface application for visualizing and exploring proteome-wide and PTM-based networks.
- To integrate differential expression and PTM site data into network visualizations for deeper biological insights.
- To facilitate hypothesis generation for understanding disease mechanisms through network analysis.
Main Methods:
- Developed Protein Interaction Network Extractor (PINE), a GUI application.
- Implemented automated protein identifier mapping for accuracy.
- Integrated data from multiple public PPI databases.
- Supported overlay of differential expression, statistical significance, and PTM sites on networks.
- Applied PINE to analyze proteome and PTM networks in nonalcoholic steatohepatitis (NASH) mouse models.
Main Results:
- PINE successfully visualizes global proteome and PTM-based networks.
- The tool integrates diverse data types, including differential expression and PTM sites, for comprehensive analysis.
- Case studies in NASH mouse models demonstrate PINE's utility in exploring context-specific regulatory mechanisms.
- PINE effectively assimilates complex networks into functionally enriched pathways and ontology terms.
Conclusions:
- PINE is a powerful, automated tool for visualizing and exploring complex proteomic and PTM networks.
- The application enhances understanding of proteome-wide regulatory mechanisms and PTM-mediated networks.
- PINE serves as a valuable resource for novel hypothesis generation in disease research.
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